jubueche / Convolutional-LadderNet
Tensorflow implementation of the Ladder Network with convolutional Layers. The Ladder Network consists of an Encoder and Decoder with lateral skip connections that jointly optimize a supervised and unsupervised cost function, thus making it extremely suitable for semi-supervised learning. This repository can be further extended by adding for exa…
☆13Updated 5 years ago
Alternatives and similar repositories for Convolutional-LadderNet:
Users that are interested in Convolutional-LadderNet are comparing it to the libraries listed below
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- ☆58Updated 7 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆29Updated 2 years ago
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆104Updated 3 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Semi-supervised variational autoencoder for survival prediction☆14Updated last year
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆39Updated 6 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 5 years ago
- Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"☆45Updated 6 years ago
- Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976☆25Updated 6 years ago
- ☆22Updated 5 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Invariant Information Clustering for Unsupervised Image Classification and Segmentation☆62Updated 4 years ago
- This is the Pytorch Re-Implementation of three Semi Supervised Classification method on Cifar-100 Dataset using ConvLarge Architecture☆33Updated 6 years ago
- Code for Image Synthesis with a Convolutional Capsule Generative Adversarial Network☆20Updated 6 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆81Updated 6 years ago
- clustering☆115Updated 6 years ago
- ☆84Updated 6 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 6 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- ☆55Updated 5 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago